# Copyright 2023 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from mlrun.serving import Model, V2ModelServer


class OneToMany(V2ModelServer):
    def load(self):
        pass

    def predict(self, event: dict) -> list:
        inputs = event.get("inputs")
        return inputs


class MyModel(Model):
    def __init__(self, *args, inc: int, **kwargs):
        super().__init__(*args, **kwargs)
        self.inc = inc

    def predict(self, body, **kwargs):
        body["n"] += self.inc
        body.pop("models", None)
        return body
